In modern society, people are increasingly exposed to chronic stress, leading to various mental disorders. However, the activities of brain regions, especially neural firing patterns related to specific behaviors, remain unclear. In this study, we introduce a novel approach, NeuroSync, which integrates open-field behavioral testing with electrophysiological recordings from emotion-related brain regions, specifically the central amygdala and the paraventricular nucleus of the hypothalamus, to explore the mechanisms of negative emotions induced by chronic stress in mice. By applying machine vision techniques, we quantified behaviors in the open field, and signal processing algorithms elucidated the neural underpinnings of the observed behaviors. Synchronizing behavioral and electrophysiological data revealed significant correlations between neural firing patterns and stress-related behaviors, providing insights into real-time brain activity underlying behavioral responses. This research combines deep learning and machine learning to synchronize high-resolution video and electrophysiological data, offering new insights into neural-behavioral dynamics under chronic stress conditions.
Animals ; Mice ; Male ; Emotions/physiology* ; Stress, Psychological/physiopathology* ; Action Potentials/physiology* ; Mice, Inbred C57BL ; Behavior, Animal/physiology* ; Machine Learning ; Amygdala/physiopathology* ; Neurons/physiology* ; Paraventricular Hypothalamic Nucleus/physiopathology* ; Brain/physiology*

Objectives:To evaluate the predictive value of Tabular Prior-data Fitted Network(TabPFN) for short-term outcome in patients with spontaneous intracerebral hemorrhage (sICH), and compared with the Extreme Gradient Boosting (XGboost) model and traditional logistic regression (LR) model. Methods:Patients with sICH admitted to the Department of Neurology, Hefei Second People's Hospital from January 2018 to March 2024 were included retrospectively. The demographic and baseline data were collected. At 3 months after onset, the modified Rankin Scale score was used to determine the outcome, 0-2 was defined as good outcome and >2 was defined as poor outcome. All enrolled patients were randomly divided into a training set and a testing set at a ratio of 7:3. Feature selection was performed using recursive feature elimination (RFE) method, and then the selected feature variables were included into TabPFN, XGboost, and LR models for training and testing. The area under the curve (AUC) of receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the models. Shapley additive explanations (SHAP) method was used for model interpretation.Results:A total of 547 patients with sICH were enrolled, including 367 males (67.1%), with a median age of 65 (interquartile range, 54-76) years. Two hundred twenty-six patients (41.3%) had poor outcome. Age, baseline blood pressure (systolic blood pressure, diastolic blood pressure), baseline laboratory tests (white blood cell count, red blood cell count, platelet count, neutrophil count, hemoglobin, fasting blood glucose, creatinine, uric acid, urea nitrogen, alanine aminotransferase, aspartate aminotransferase), hematoma rupture into the ventricle, island sign, baseline hematoma volume, and baseline National Institutes of Health Stroke Scale (NIHSS) score were selected as characteristic variables using RFE method. ROC curve analysis showed that the ROC AUC for TabPFN, Xgboost, and LR models predicting poor short-term outcome in the testing set were 0.918 (95% confidence interval [ CI] 0.870-0.966], 0.883 (95% CI 0.826-0.940), and 0.905 (95% CI 0.854-0.957), respectively. SHAP analysis showed that the top four important variables in the TabPFN model were baseline NIHSS score, baseline hematoma volume, baseline aspartate aminotransferase, and age. Conclusions:The TabPFN model is superior to the LR model and the XGBoost model in predicting poor outcome in patients with sICH. In the TabPFN model, baseline NIHSS score, baseline hematoma volume, aspartate aminotransferase, and age are the most important predictors of poor outcome in patients with sICH.Objectives To evaluate the predictive value of Tabular Prior-data Fitted Network(TabPFN) for short-term outcome in patients with spontaneous intracerebral hemorrhage (sICH), and compared with the Extreme Gradient Boosting (XGboost) model and traditional logistic regression (LR) model. Methods Patients with sICH admitted to the Department of Neurology, Hefei Second People's Hospital from January 2018 to March 2024 were included retrospectively. The demographic and baseline data were collected. At 3 months after onset, the modified Rankin Scale score was used to determine the outcome, 0-2 was defined as good outcome and >2 was defined as poor outcome. All enrolled patients were randomly divided into a training set and a testing set at a ratio of 7:3. Feature selection was performed using recursive feature elimination (RFE) method, and then the selected feature variables were included into TabPFN, XGboost, and LR models for training and testing. The area under the curve (AUC) of receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the models. Shapley additive explanations (SHAP) method was used for model interpretation. Results A total of 547 patients with sICH were enrolled, including 367 males (67.1%), with a median age of 65 (interquartile range, 54-76) years. Two hundred twenty-six patients (41.3%) had poor outcome. Age, baseline blood pressure (systolic blood pressure, diastolic blood pressure), baseline laboratory tests (white blood cell count, red blood cell count, platelet count, neutrophil count, hemoglobin, fasting blood glucose, creatinine, uric acid, urea nitrogen, alanine aminotransferase, aspartate aminotransferase), hematoma rupture into the ventricle, island sign, baseline hematoma volume, and baseline National Institutes of Health Stroke Scale (NIHSS) score were selected as characteristic variables using RFE method. ROC curve analysis showed that the ROC AUC for TabPFN, Xgboost, and LR models predicting poor short-term outcome in the testing set were 0.918 (95% confidence interval [ CI] 0.870-0.966], 0.883 (95% CI 0.826-0.940), and 0.905 (95% CI 0.854-0.957), respectively. SHAP analysis showed that the top four important variables in the TabPFN model were baseline NIHSS score, baseline hematoma volume, baseline aspartate aminotransferase, and age. Conclusions The TabPFN model is superior to the LR model and the XGBoost model in predicting poor outcome in patients with sICH. In the TabPFN model, baseline NIHSS score, baseline hematoma volume, aspartate aminotransferase, and age are the most important predictors of poor outcome in patients with sICH.

Large vessel occlusion due to intracranial atherosclerotic disease (ICAD-LVO) is one of the types of ischemic stroke with poor outcome. This article summarizes the relevant studies of ICAD-LVO in recent years, and reviews the imaging evaluation and treatment regimens to provide reference for clinical practice.

ObjectiveTo explore the distribution of pharyngeal microbiota in coal miners exposed to dust. Methods Eight coal miners who had been engaged in occupational dust exposure for more than 20 years were selected as the dust-exposed group, and four coal miners who were not exposed to dust at work were selected as the control group using the judgment sampling method. Pharyngeal secretions of the coal miners were collected with throat swabs, and its pharyngeal microbiota was analyzed. The diversity, abundance and evenness of the microbiota were analyzed by gene sequencing using the 16sRNA gene high-throughput sequencing technology. Results A total of 254 operational taxonomic units of pharyngeal microbiota were detected in the coal miners in the control group, which was 210 more than that in the dust-exposed group. The Chao1 index, Shannon index, PD-tree index and Pielou index of pharyngeal microbiota in the dust-exposed group decreased compared with the control group (all P<0.01). The abundance of Bacteroidetes and Clostridum, at the phylum level, in the pharynx of coal miners in the dust-exposed group was higher than that in the control group (all P<0.05). The abundance of Prevotella, Neisseria, and Monas, at the genus level, in the pharynx of coal miners in the dust-exposed group was higher than that in the control group(all P<0.05), while the abundance of Lactobacillus decreased (P<0.05). The analysis results of the receiver operating characteristic curve showed that Lactobacillus, Fusobacterium and Rothia may play a role for pharyngeal microbiota imbalance prediction in dust-exposed workers, and the area under the curves were all 1.00±0.00. Conclusion The species diversity and evenness of pharyngeal microbiota in coal miners exposed to dust are decreased, which may be related to the continuous inhalation of coal dust that disrupts the microbial environment of the throat.

ObjectiveTo provide scientific support for the compilation of high-quality anti-nuclear， biological， and chemical （NBC） medical textbooks in China by retrieving books in the field of biological weapons defense in China， summarizing the publication time and distribution of publishing institutions， and categorizing content and key points of related books. MethodsRelevant subject terms in the field of biological weapons defense were searched through the official website of China National Digital Library and other websites， up until December 31， 2023， and were limited to books. Topic analysis was conducted on the introductions and contents of the books using the latent Dirichlet allocation （LDA） model. The number of topics was determined based on perplexity， and topics were identified according to the intertopic distance map， followed by a qualitative description of the core content of each topic. ResultsA total of 104 books were included in this study， among which four were identified as higher educational textbooks. The volume of publications increased during the periods 2002‒2004 and 2020‒2023. Research institutions accounted for the highest percentage of publishers （37.78%）， and 56.67% of the publishers were military institutions. The study identified six topics： "distribution， defense， and response to biological weapons"， "category， diagnosis， and treatment of biological warfare agents"， "response to biological public health emergencies"， "status of nuclear， biological， and chemical weapons internationally"， "biosafety risk management and prevention and control"， and "technologies and equipment related to biological hazard identification". ConclusionThere are few books in the field of biological weapons defense in China and the content is relatively outdated. In the future， the preparation of teaching materials should be aimed at practical emergency handling techniques for biological weapons， enhance the emphasis on biological weapons detection and biological warfare early warning， improve the fundamental theories at different training levels， and timely update the current research status in the field.

Military camps are characterized by compact space and high personnel density,which increases the risk of emerging respiratory infectious diseases and makes prevention and control difficult.One effective solution is to use a compartment model for early warning,prediction of epidemic outbreaks,and for optimization of precautions.Given the strong similarities in the transmission of emerging respiratory infectious diseases across military camps and communities,this article summarizes the cases where compartment models have been used both at home and abroad,constructs a susceptible-exposed-infectious-removed model and a susceptible-exposed-infectious-quarantined-removed model,and simulates the prediction of trends and selection of prevention and control measures in typical military camp scenarios after the outbreak of an epidemic in hopes of providing references for the prevention and control of emerging respiratory infectious diseases and for the construction of a regional intelligent early warning platform in military camps.

Objective To evaluate the stability and aesthetic effect of a xenogeneic collagen matrix(mucograft)on achieving an adequate keratinized mucosa width(KMW)around implants and to provide a reference basis for the clini-cal application of xenogeneic collagen matrix materials.Methods The hospital ethics committee approved the study protocol,and the patients provided informed consent.Twenty patients with a KMW＜2 mm at the buccal implant site who were treated in Binzhou Medical University Affiliated Yantai Stomatological Hospital from July 2020 to September 2022 were included,and a total of 36 implants were included.The mean age of the patients was(52.0±10.4)years,of which 18 were females and 2 were males.They were divided into a free gingival graft group(FGG,control group)and a xenogeneic collagen matrix group(test group)according to different graft materials.The incremental effect of the KMW on the buccal side of the implant and the mucosal shrinkage rate was measured at 1 month and 3 months after the opera-tion.The mucosal scar index(MSI)was evaluated after the operation.Results At 3 months postoperatively,the KMW was(3.67±1.06)mm in the control group and(2.96±0.98)mm in the test group,and the difference was statistically significant(t=2.076,P＜0.05).The KMW shrinkage rate was(33.34±16.30)％in the test group and(22.05± 15.47)％in the control group at 1 month postoperatively and(51.95±12.60)％in the test group and(37.44±16.30)％in the control group at 3 months postoperatively,with statistically significant differences between the two groups at the same time points(P＜0.05).Three months after surgery,the test group showed significantly better outcomes than the control group in terms of the five scar indicators(scar width,scar convexity,scar color,scar trace,and overall appear-ance),and the difference was statistically significant(P＜0.05).Conclusion Xenogeneic collagen matrix can increase the peri-implant KMW and achieve a more natural and coordinated soft tissue aesthetic effect but with a higher shrink-age rate.

Objective To construct the prediction model of perineural invasion(PNI)in gallbladder carcinoma(GBC)based on preoperative enhanced CT image features and evaluate its prediction efficiency.Methods The clinical,imaging and pathological data of 180 GBC patients undergoing radical operation were retrospectively analyzed.They were divided into positive and negative groups according to the presence or absence of PNI.Preoperative enhanced CT imaging features(including presence of gallstones,imaging hepatic invasion,vascular invasion,T-stage,and hilar or retroperitoneal lymph node metastases)were evaluated by two radiologists.Independent sample t-test,Mann Whitney U test,and X2 test were used to compare the correlation between CT signs and PNI.Logistics regression analysis was used to screen independent risk factors and establish the prediction model formula.ROC curve was used to evaluate the prediction efficiency of the prediction model and the corresponding area under the curve(AUC)was calculated.Hosmer-Lemeshow goodness of fit test was used to verify the prediction model.Results Unifactorial analysis showed that CA199,CA125,imaging hepatic invasion,vascular invasion(hepatic artery or portal vein),T-stage,and hilar or retroperitoneal lymph node metastasis were correlated with nerve invasion(P＜0.05).Logistics multi-factor analysis results showed that CA199,imaging vascular invasion(hepatic artery or portal vein),and imaging T stage were independent risk factors for PNI.Based on the above independent risk factors,a prediction model formula was established and ROC curve was drawn,with an AUC of 0.807(95％CI:0.734～0.879),sensitivity of 0.792,specificity of 0.697,and the chi-square value of Hosmer-Lemeshow goodness of fit test of 0.594(P=0.997),indicating that the predicted value of the model was close to the actual value.Conclusion Combining CA199,imaging vascular invasion,T-stage,and other preoperative clinically-enhanced CT features to establish a prediction model can effectively predict postoperative PNI of GBC.

Objective To explore the effects of swallowing therapy combined with tongue pressure resistance feedback training on ingestion and swallowing functions in patients with post-stroke dysphagia(PSD).Methods A total of 82 patients with PSD who were admitted to our hospital between May 2021 and October 2023 were enrolled.According to different treatment methods,the patients were divided into routine group(n=40,swallowing therapy)and combination group(n=42,swallowing therapy+tongue pressure resistance feedback training).The curative effect,ingestion and swallowing functions,quality of life,and complications were compared between the two groups.Results The total response rate of the combination group was higher than that of the routine group(P<0.05).After treatment,the score of functional oral intake scale(FIOS)and the proportion of patients orally intaking were increased,while the score of eating assessment tool-10(EAT-10)and independent eating time were decreased in both groups;and the improvements in the combination group were superior to the routine group(all P<0.05).After treatment,oral transport time,lifting time of soft palate,video fluoroscopic dysphagia scale(VDS)score and standardized swallowing assessment(SSA)score were decreased in both groups,and these parameters in the combination group were lower than those in the routine group(all P<0.05).Dysphagia-specific quality of life(SWAL-QOL)score and Barthel index(BI)were increased after treatment in both groups,and SWAL-QOL score and BI in the combination group were higher than those in the routine group(all P<0.05).The incidence of complications in the combination group was lower than that in the routine group(P<0.05).Conclusion Swallowing therapy combined with tongue pressure resistance feedback training can effectively improve ingestion and swallowing functions,improve quality of life,and reduce the complications in PSD patients.

Objective:This study aimed to analyze differential metabolites in patients using a dual metabolic platform and to orientate early nutritional intervention in patients with cirrhosis.Methods:The skeletal muscle index (SMI) was calculated based on computed tomography (CT) measurements of skeletal muscle cross-sectional area at the third lumbar vertebra level. Pre-sarcopenia was diagnosed for males with SMI < 46.96 and for females with SMI < 32.46. Fifteen HBV-related liver cirrhosis patients with pre-sarcopenia were included as Group S while fourteen liver cirrhosis without pre-sarcopenia were Group NS. Liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) analyses were used to detect differential metabolites and disturbed pathways in the two groups.Results:Five pathways and twenty-eight pathways were defined as disturbed pathways in the plasma of liver cirrhosis patients with pre-sarcopenia by LC-MS and GC-MS, respectively. Most of these pathways are related to amino acid metabolism. Forty-two differential metabolites were imported into the disturbed pathways. Moreover, 3-hydroxypropanal, hydrocinnamic acid, betaine aldehyde, phosphohydroxypyruvic acid, (r)-3-hydroxybutyric acid, and creatinine were identified as potential biomarkers for pre-sarcopenia in HBV-related liver cirrhosis.Conclusions:The study identified a total of 33 pathways and related differential metabolites that were disturbed in HBV-related liver cirrhosis with pre-sarcopenia. The amino acid metabolism, urea cycle, and glyoxylate and dicarboxylate metabolism pathways may be associated with pre-sarcopenia in patients with HBV-related liver cirrhosis. These results provide a direction for nutritional supplementation in liver cirrhosis.